x‹wh« tF¥ò x‹wh« tF¥ò - ó{ía« k‰W« ó{ía¤Jl‹ T£lš gâ¤jhŸ - 2 1.

gl¤Âš bro - 5š cŸs ÏiyfŸ

bro – 1 m) 4 2.

bro – 2 M) 3

bro – 3

bro – 4 Ï) 0

bro - 5 <) 2

gl¤Âš v©â¡if¡F¥ bghUªjhj v©

2

7

3

0

m) 0 3.

M) 2

gl¤Âš

Ï) 7

v©QUΫ

<) 3

òŸëfë‹ v©â¡ifÍ« rçahf cŸs

m£ilæ‹ v© vJ?

.... . ....

8 1 m) 2

.... ...

6

0

2 M) 3

5 3

Ï) 4

.... 4

<) 1

4.

xUtU¡F xU gªJ våš Ûj« gªJfŸ m) 5

5.

M) 10

<) 0

broæš cŸs Ïu©L ó¡fS« éGªJé£lhš ÛjKŸs ó¡fŸ

m) 0 6.

Ï) 1

M) 1

Ï) 3

<) 2

fhè¡ f£l¤ij ãu¥òf.

+

=

4

m) 4 7.

4

M) 8

Ï) 0

<) 4

nfho£l Ïl¤Âš bghU¤jkhd gl« vJ ?

+

0

= --------------

6

m)

M)

0 6

Ï)

<)

8 7

8.

9=9+

m) 9 9.

0+ m) 7

M) 10

Ï) 0

<) 18

M) 1

Ï) 5

<) 2

=5

Ïu©lh« tF¥ò v©â¡if v©fS«, jutçir v©fS« k‰W« tot§fŸ gâ¤jhŸ - 2 1.

1 2 3 6 tJ Ïl¤Âš ÏU¡F« gH« m) bfhŒah 2.

M) M¥ÃŸ

4

5 Ï) kh«gH«

6

7

<) gyh

uhK tçiræš 9 tJ Ïl¤Â‰F mL¤J ㉻wh‹ våš mt‹ v¤jidahtJ Ïl¤Âš ã‰gh‹? m) 8 MtJ

3.

M) 10 MtJ

M) br›thŒ

M) 8 MtJ

<) rå

Ï) 3 MtJ

<) 9 MtJ

xU %ghŒ ehza« ------- tot¤Âš ÏU¡F« m) t£l«

6.

Ï) §fŸ

FoauR Âd¤ij v¤jidahtJ khj« bfh©lhL»nwh« ? m) 1 MtJ

5.

<) 9 MtJ

khj¤Â‹ Kjš ehŸ §fŸ våš, 8 tJ ehŸ vªj¡»Hikæš tU« ? m) PhæW

4.

Ï) 11 MtJ

M) K¡nfhz«

Ï) rJu«

<) br›tf«

Ï)

<)

njhuz¤Âš cŸs tot« vJ?

m)

M)

7.

Ï«_‹W Ô¡F¢Áfis¡ bfh©L mik¡f¥gL« _oa tot« vJ? m) K¡nfhz«

M) rJu«

Ï) br›tf«

<) t£l«

_‹wh« tF¥ò - bgU¡fš thŒ¥ghL (4, 5) k‰W« bgU¡fš thŒ¥ghL (10, 0) gâ¤jhŸ - 2 1.

v©nfh£il ga‹gL¤Â bgU¡fš étu« vGJf. 1

0

1

2

2

m) 4 x 2 2.

3

4

M) 4 x 4

5

6

7

8

9

Ï) 1 x 8

<) 6 x 2

Ï) 14, 16, 26

<) 16, 20, 30

10

éLg£l v©fis vGJf. 4, 8, 12, ---, ---, 24, --m) 16, 20, 28

3.

gl¤Âš cŸs M¥ÃŸfë‹ bgU¡fš étu«

m) 1 x 4 4.

M) 16, 22, 30

M) 2 x 4

Ï) 3 x 4

<) 4 x 4

bfhL¡f¥g£l v©fëš 5 Ï‹ kl§FfŸ bfh©l rçahd bjhF¥ig vGJf. 10, 18, 5, 19, 15, 30, 2, 25, 40

5.

m) 5, 10, 15, 25, 30, 40

M) 5, 10, 12, 25, 30, 40

Ï) 5, 15, 16, 24, 25, 40

<) 4, 15, 19, 24, 25, 40

20 v‹w v©â‹ bgU¡fš étu« v‹d ? m) 4 x10

M) 10 x 5

Ï) 4 x 5

<) 5 x 5

6.

fhè¡ f£l¤ij ãu¥Ã rçahd tçiræš cŸs éilia bjçÎ brŒf.

(i)

3

(ii)

5

0=

(iii)

1

20 =

(iv)

60

(v)

0

= 30

=0 7=

m) 10, 0, 20, 0, 0

M) 10, 10, 0, 0, 0

Ï) 0, 10, 20, 10, 0

<) 0, 10, 0, 10, 0

7.

nfho£l Ïl¤Âš rçahd tçiræš cŸs éilia bjçÎ brŒf.

(i)

10

(ii)

8

0 = -------

(iii)

0

9 = -------

(iv)

0

1 = -------

0 = -------

m) 10, 8, 9, 1

M) 0, 0, 0, 0

8.

rçahd T‰iw¤ bjçÎ brŒf.

(i)

10

0=0

(ii)

10

0=0

(iii)

10

0=0

(iv)

0

10 = 0

9.

Ï) 10, 8, 0, 0

<) 0, 0, 9, 1

m) (i) k£Lnk rçahdJ

M) (ii) k£Lnk rçahdJ

Ï) (i) k‰W« (iv) rçahdJ

<) (iii) k£Lnk rçahdJ

fhè¡ f£l¤ij ãu¥Ã rçahd tçiræš cŸs éilia bjçÎ brŒf. 10 = 120

(i) (ii)

480 = 48

(iii)

36

(iv)

24

10 = = 240

m) 12, 48, 10, 24

M) 12, 10, 36, 10

Ï) 12, 10, 360, 10

<) 10, 10, 36, 24

eh‹fh« tF¥ò - bfhŸssÎ gâ¤jhŸ - 2 1.

j©Ù® bjh£o, bg£nuhš yhç k‰W« nghènah kUªJ M»at‰iw ms¡f ga‹gL¤J« ju¥gL¤Âa msitfë‹ rçahd tçir m) è, äè, äè

2.

M) äè, è, è

<) è, è, äè

fhà – 6 è, njÚ® - 4 è, Ït‰¿š 4 è fhÃÍ«, 2 è njÚU« é‰Wé£ld våš ÛjKŸs fhÃ, njÚ® v›tsÎ ? m) fhà - 8 è, njÚ® - 6 è M) fhà - 4 è, njÚ® - 2 è Ï) fhà - 2 è, njÚ® - 2 è

3.

Ï) è, è, è

<) fhà - 12 è, njÚ® - 4 è

féjh mtëlKŸs 500 äè gH¢rhiw j‹ _‹W FHªijfS¡F jyh 100 äè Åj« bfhL¤jhŸ våš, mtël« ÛÂ cŸs gH¢rhW v›tsÎ?

m) 200 äè 4.

M) 100 äè

Ï) 50 äè

<) 400 äè

Fku‹ 2 è j©Ùiu Ïu©L bt›ntW msΟs gh¤Âu¤Âš rkkhf¥ Ãç¤J C‰W« nghJ bgça gh¤Âu¤ÂYŸs Úç‹ msÎ Fiwthf bjç»wJ. Vbdåš m) Á¿a gh¤Âu¤Â‹ cau« mÂf« M) bgça gh¤Âu¤Â‹ cau« FiwÎ Ï) Á¿a gh¤Âu¤Â‹ mo¢R‰wsÎ FiwÎ <) bgça gh¤Âu¤Â‹ mo¢R‰wsÎ mÂf«

5.

Ójh, xU gh¤Âu¤Âš ÏUªJ j©Ùiu 10 Kiw j‹ iffshš k‰bwhU gh¤Âu¤Âš ãu¥ÃdhŸ. mnjnghš uhK, gh¤Âu¤Âš ÏUªj mnj msÎ j©Ùiu 5 Kiw ãu¥Ãdh‹. Ï›éUtç‹ iffë‹ bfhŸssÎ m) ju¥gL¤Âa msitfŸ M) ju¥gL¤j¥glhj msÎfŸ Ï) rk«

6. uh#] v©bzŒ th§f fil¡F¢ br‹wh‹. mt‹ th§»a v©bzæ‹ étu« ËtUkhW

(i)

t. v©bzæ‹ bga® v© 1. Nça fhªÂ v©bzŒ 2. ešby©bzŒ 3. nj§fhŒ v©bzŒ 4. Mè› v©bzŒ uh#] th§»a v©bzæ‹ bkh¤j msÎ m) 750 äè

(ii)

(iii)

Ï) 1è 350 äè

m) Nça fhªÂ v©bzŒ

M) ešby©bzŒ

Ï) nj§fhŒ v©bzŒ

<) Mè› v©bzŒ

<) 1è 500 äè

Nça fhªÂ v©bzŒ k‰W« ešby©bzŒ nr®¤J th§»dhš mj‹ msÎ M) 500 äè

Ï) 1250 äè

<) 250 äè

2 è Nça fhªÂ v©bzæ‹ éiy v›tsÎ ? m) %. 100

(v)

th§»a msÎ 500 äè 250 äè 500 äè 100 äè

vªj v©bzæ‹ éiy mÂf«

m) 750 äè (vi)

M) 1150 äè

éiy 1è - %. 100 200 150 600

M) %. 50

Ï) %. 200

<) %. 300

%. 300 ¡F Mè› v©bzŒ v›tsÎ äè th§fyh« ? m) 80 äè

M) 200 äè

Ï) 30 äè

<) 500 äè

Iªjh« tF¥ò gâ¤jhŸ - 2 1.

RH‰Á¡F¥ Ëd® Ñ©f©lt‰WŸ vit rçahdJ ?

m) M)

Ï) 2.

<)

br›tf¤Â‹ rk¢Ó® nfhLfë‹ v©â¡if m) 2

M) 3

Ï) 4

<) 1

3.

br¥l«g® 2016

(i)

éahH‹ btŸë rå 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 nkny ju¥g£l eh£fh£oæš br›thŒ »Hikæš 5 kl§fhf tU« nj vJ ? PhæW

§fŸ

m) 15 (ii)

M) 20

òj‹

Ï) 30

<) 5

6 k‰W« 5 Ï‹ kl§fhf btŸë¡»Hikæš Ïl«bgW« X® v© ahJ? m) 18

(iii)

br›thŒ

M) 30

Ï) 20

<) 15

eh£fh£oæš òj‹ »Hikæ‹ tU« njÂfŸ vªj v©â‹ kl§Ffshf mikªJŸsd ?

m) 4 6.

M) 5

<) 7

f©zho ëg¤Â‹ ÃuÂgè¥ò¡F¥ ËdU« khwhj v© vJ ? m) 2

7.

Ï) 6

M) 3

Ï) 0

<) 7

xU f£ll« rk¢Ó® j‹iknahL f£l¥g£LŸsJ, mj‹ ÏlJ g¡f¤Âš 4 ö©fŸ cŸsd v‹whš tyJ g¡f¤Âš cŸs ö©fë‹ v©â¡if m) 2

8.

M) 4

<) 0

bfhL¡f¥g£l gl¤ij miu RH‰Á brŒjhš »il¥gJ

m)

9.

Ï) 1

M)

Ï)

<)

ÑœfhQ« tot¤Â‹nkš tiua¥g£l nfhLfëš rk¢Ó® j‹ik bfh©l nfhL vJ ?

10.

m)

M)

Ï)

<)

ÑœfhQ« gl¤Âš, vªjbthU v© bfh©l f£l¤ij ãHè£lhš xU rk¢Ó®nfhL »il¡F« ? 1 4

2

3

5

6

7 9

m) 6

8 10

11

M) 5

Ï) 11

<) 10

Mwh« tF¥ò – Ïa‰fâj« kh¿èfŸ, kh¿fŸ, nfhitfŸ k‰W« rk‹ghLfŸ gâ¤jhŸ - 2 1.

khyhé‹ ta‹ 3 kl§Fl‹ 5 I T£odhš »il¡F« mtsJ jªijæ‹ taJ vJ? m) 5

2.

3

M) 3

5

15

Ï)

<) 5

xU njh£l¤Âš 5 nuh#h¡fS«, 7 br«gU¤Â¥ ó¡fS« cŸsd. Ïu©ilÍ« é‰w bkh¤j bjhif 19 våš mj‰fhd Ïa‰fâj rk‹ghL m) 7

3.

5

19

M) 5

7

19

<) 5

19

Ï)

19

X® v©iz 2 Mš bgU¡», mj‹ ÏUkl§nfhL 5I T£odhš »il¡F« Ïa‰fâj rk‹ghL m) 2

4.

5

+3

Ï) 6

5

3

2

7

<) 8

5

5

M)

0

Ï) 2

13

<) 3

+1

1

9

<)

3

5

‹ kÂ¥ò

8

M)

Ï)

9

<)

5

Ï)

5

<)

6

15 v‹w rk‹gh£o‹ Ô®Î. 2

m)

1

= 4 v‹w Ô®it bfh©l rk‹ghL vJ ?

23 v‹w rk‹gh£oš

10

7.

5

6

m)

Ï) 4

M)

Ñœf©lt‰¿š m)

6.

5

Ñœf©lt‰WŸ vJ Ïa‰fâj rk‹gh£il¡ F¿¡F« ? m) 10

5.

M) 4

4

M)

8. +

+

+

+

+

=?

m) %. 25536 9.

m)

10.

M) %. 23356

= %. 34048 våš

Ï) %. 14416

<) %. 11349

= 3 våš Ñœf©lt‰¿š vJ rçahdJ = 2,

=5

M)

= 5,

=2

Ï)

= 6,

=4

<)

= 4,

=6

X® v©â‹ 3 kl§Fl‹, k‰bwhU v©â‹ 5 kl§if T£odhš »il¥gJ

26 våš mj‹ rk‹ghL m) 3

5

26

M) 3

5

26

Ï) 5

26

<)

5

26

VHh« tF¥ò – msitfŸ gâ¤jhŸ - 2 1.

xU _oa js tot« mil¡F« Ïl¤Â‹ msÎ m) R‰wsÎ

2.

M) Ús«

Ï) gu¥gsÎ

<) mfy«

xU br›tf nkiræ‹ Ús« 60 br.Û., R‰wsÎ 180 br.Û. våš, nkiræ‹ mfy« v›tsÎ ? m) 60 br.Û.

M) 30 br.Û.

3.

Ï) 90 br.Û.

<) 180 br.Û.













xU ó§fhé‹ tiugl« bfhL¡f¥g£LŸsJ. m¥ó§fhé‹ gu¥gsÎ v‹d ? m) 32 Û2 4.

M) 34 Û2

Ï) 36 Û2

<) 38 Û2

30 Û g¡fKila rJu tot éisah£L¤ Âliy 4 Kiw R‰¿ tªjhš Ú R‰¿ tªj bkh¤j öu« v‹d ? m) 480 Û

5.

M) 460 Û

Ï) 500 Û

<) 490 Û

xU ó§fh eh‰fu toéš cŸsJ. xU _iy é£l¤Â‹ Ús« 100 Û. mj‹ ÏU ntW c¢ÁfëèUªJ _iyé£l¤Â‰F tiua¥gL« br§F¤Â‹ Ús§fŸ 30 Û, 25 Û våš f£ll¤Â‹ gu¥gsÎ v‹d ? m) 2550 r.Û.

6.

M) 2750 r.Û.

Ï) 2720 r.Û.

<) 2770 r.Û.

50 Û Ús« cila br›tf tot rikayiwæ‹ gu¥gsÎ 2050 r.Û. våš rikayiwæ‹ mfy« v›tsÎ ?

m) 45 Û 7.

M) 46 Û

Ï) 41 Û

<) 48 Û

ABCD v‹w rhŒrJu ó§fhé‹ gu¥gsÎ 300 br.Û.2. AC Ï‹ msÎ 40 br.Û. våš BD Ï‹ msÎ v‹d ? m) 10 br.Û.

8.

M) 12 br.Û.

Ï) 15 br.Û.

<) 20 br.Û.

xU gŸëæš mikªJŸs br›tf tot ãy¥gu¥Ã‹ Ús mfy§fŸ Kiwna 60 Û k‰W« 40 Û. mªãy« KGtÂY« njh£l« mik¡f rJu Û£lU¡F %. 40 Åj« v›tsÎ brythF« ? m) %. 80,000

9.

M) %. 76,000

Ï) %. 96,000

<) %. 1,00,000

xU XG§FmW§nfhz totKila Rt® fofhu¤Â‹ xU g¡f msÎ 4 br.Û. v‹whš mj‹ R‰wsÎ v‹d ? m) 26 br.Û.

10.

M) 24 br.Û.

Ï) 28 br.Û.

<) 29 br.Û.

xU rJu tot ikjhd¤Â‹ gu¥gsÎ 2025 r.Û. mªj ikjhd¤Â‹ R‰wsÎ v‹d ? m) 145 Û

M) 160 Û

Ï) 180 Û

<) 200 Û

v£lh« tF¥ò – Ïa‰fâj« gâ¤jhŸ - 2 1.

xU Ô¥bg£oæš 50 Ô¡F¢ÁfŸ ÏU¥Ã‹ mnj v©â¡ifæš Ô¡F¢ÁfŸ bg£ofëš v¤jid Ô¡F¢ÁfŸ ÏU¡F« ?

bfh©l m) 50 2.

M) 50

<) 50

X® v©â‹ 4 kl§»èUªJ 14ia fê¡f »il¡F« nfhit m) 4

3.

Ï) 50

9

14

M) 4

14

Ï) 14

4

<) 14

4

<)

11

8 v‹w nfhitia¡ F¿¡F« fâj¤ bjhl®

m) X® v©â‹ 9 kl§Fl‹ 8 I T£Lf M) X® v©â‹ 8 kl§Fl‹ 9 I T£Lf Ï) X® v©â‹ 9 kl§»èUªJ 8 I fê¡f <) X® v©â‹ 8 kl§»èUªJ 9 I fê¡f 4.

7 m)

5.

2, 4 11

2 v‹w ÏU nfhitfë‹ TLjš M)

3

xU br›tf tot taè‹ Ús« gu¥gsÎ

Ï) 5

4

4

Û, mfy« 8

4

Û våš taè‹

m) 8

Û2

40 9 våš

6.

Û2

<)

Û2

40

2 ‹ kÂ¥ò v‹d ?

M) -7

Ï) 9

<) 2

yjhé‹ Å£o‰F mU»š cŸs ó§fh xG§F mWnfhz toéš cŸsJ. mj‹ g¡f«

11

M) 6

6

Ï)

<) 6

v‹w Ïa‰fâj¡ nfhitia¡ F¿¡F« T‰W I 11 èUªJ fê¡f

m)

Ï) 11 Kiw 9.

våš R‰wsÎ v‹d ?

6

m) 8.

Û2 Ï) 40

40

9

m) 0 7.

M) 8

M)

I fê¡f

<)

èUªJ 11 I fê¡f Kiw 11 I fê¡f

msÎ g¡fKŸs rJu¤Â‹ gu¥gsÎ m)

10.

M)

Ï)

<) 4

Ï) 3

<) 2

3 våš ! ‹ kÂ¥ò v‹d ? m) 6

M) 8

x‹gjh« tF¥ò – mšÉ¥uh gâ¤jhŸ - 2 1.

ÏU v©fë‹ TLjš 24 k‰W« é¤Âahr« 8 våš, m›bt©fŸ vit? m) 16, 8

2.

2

M) 20, 4

Ï) 0, 24

<) 0, 8

7 " 15 v‹w mrk‹gh£il¤ Ô®¡f eh« bgWtJ 4

m)

5

3.

M)

"4

# Ï‹ fhuâfŸ 2

Ï)

4

1 k‰W«

0

<) 3 våš

k‰W« # Ï‹

k崘f٠Kiwna m) 2, 3 9

4.

12

2 4

M) 4

2

7

M) 1 2

3

<) 1, -3

7 våš k‰bwh‹W Ï)

2

9

<)

v‹w gšYW¥ò¡ nfhitæ‹ go

m) 2 6.

Ï) 2, -3

14 Ï‹ fhuâfëš x‹W

m) 5.

M) -2, 3

3

Ï) 3

v‹w gšYW¥ò¡ nfhitæš

<) 10 k‰W«

‹ bfG¡fŸ

Kiwna m) (2, 3)

M) (-2, -3)

Ï) (-3, -2)

<) (3, 2)

v‹gJ !

7. m) !

0 2

8.

Ï‹ xU fhuâ våš M) !

2

Ï) !

0

%

0

<) !

$

0

%

1 Ï‹ fhuâfëš x‹W

1

m)

$

1

M)

2

Ï)

2

<)

g¤jh« tF¥ò – Ïa‰fâj« gâ¤jhŸ - 2 2

1.

0 v‹w rk‹gh£o‹ go

m) 3

M) 2 #

2. m) 3.

<) 1

0 v‹w ÏUgo¢ rk‹gh£o‹ _y§fŸ ahit ?

&$'√$ ) &*%+

M)

%

2

Ï) 6

/

7

–-'√-)&*%$

Ï)

%

&+'√+ ) .*%$

<)

%

&$'√+ ) .*%$ %

0 v‹w ÏUgo¢ rk‹gh£o‹ _y§fë‹ TLjš mj‹

_y§fë‹ bgU¡fèš gh våš / ‹ kÂ¥ò ahJ ? m) 4.

2

M)

Ï)

<)

√3 v‹gJ ÏUgo rk‹gh£o‹ xU _y« våš k‰bwhU _y«

m) 2

√3

M) 2

#

5.

√3

Ï)

2

√3

<) √2

3

0 vD« ÏUgo¢ rk‹gh£o‹ _y§fë‹ jiyÑêfis

_y§fshf¡ bfh©l rk‹ghL m)

)

%

#

$

#

Ï) 6

6.

/

#

M)

0 0

<) #

0 0

0 v‹w ÏUgo¢ rk‹gh£o‹ xU _ykhdJ k‰bwhU _y¤ij¥

nghš ÏU kl§F våš / ‹ kÂ¥ò ahJ ? m) 12 7.

Û ÚsK«

M) -18

Ï) 36

<) 8

Û mfyK« bfh©l br›tf¤Â‹ gu¥gsÎ 108 Û2 våš mj‹

rk‹gh£il vGJf. m) 8.

108

M) 2

108

Ï)

108

<)

108

X® v©â‹ t®¡fkhdJ k‰bwhU v©â‹ _‹W kl§F våš, mj‹ rk‹ghL ahJ? m)

M)

3

Ï) 3

<)

3

9.

3

5 v‹w rk‹gh£o‰fhd T‰iw fh©

m) xU v©â‹ t®¡fkhdJ mj‹ _‹W kl§»‹ 5 FiwÎ M) xU v©â‹ t®¡fkhdJ mj‹ _‹W kl§if él 5 mÂf« Ï) xU v©â‹ t®¡fkhdJ mj‹ 5 kl§if él 3 mÂf« <) xU v©zhdJ mj‹ _‹W kl§if él 5 FiwÎ

AITP - Maths worksheet - 1 to X Std II week_2.pdf

There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. AITP - Maths ...

499KB Sizes 2 Downloads 243 Views

Recommend Documents

AITP - Maths slow learner material- 2nd 3rd std - Thirupur dsit.pdf ...
AITP - Maths slow learner material- 2nd 3rd std - Thirupur dsit.pdf. AITP - Maths slow learner material- 2nd 3rd std - Thirupur dsit.pdf. Open. Extract. Open with.

AITP - cce-3-maths-worksheet-em.pdf
A) 0 B) 20 C) 1 D) 10. Page 3 of 14. AITP - cce-3-maths-worksheet-em.pdf. AITP - cce-3-maths-worksheet-em.pdf. Open. Extract. Open with. Sign In. Main menu.

AITP - 5th Maths 1 lesson.pdf
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. AITP - 5th Maths ...

Ladder Chart Maths Std-1 & 2
SIZE : 35”X24”, 4-Color Printing 700 Gauge White Foam Sheet,. Inserted With White PVC Pipe & 4 Cap on Both End. Two Loop of white string, with thread for ...

AITP - II ND TERM 4TH STD ENGLISH.pdf
4TH. www.asiriyar.com. www.asiriyar.com. Page 3 of 8. AITP - II ND TERM 4TH STD ENGLISH.pdf. AITP - II ND TERM 4TH STD ENGLISH.pdf. Open. Extract.

AITP - III STD TERM - II TAMIL AND ENGLISH SCIENCE IMPOTANT ...
Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. AITP - III STD TERM - II TAMIL AND ENGLISH SCIENCE IMPOTANT WORDS.pdf. AITP - III STD TERM - II TAMI

ICT Worksheet Std X _ Unit 4 _ 3_Spandanam.pdf
... Chapter Unit 4 - Python Graphics. Name of Activity Drawing patterns(follow up activities on page 56 of textbook). Software used IDLE (Using Python 3.4). Time.

ICT Worksheet Std X _ Unit 4 _ 1_Spandanam.pdf
Add commands for graphic. shapes to work. Type the following command in Python programme editor. window. from turtle import*. Creating a square Type the ...

AITP - tet-paper-ii-maths-ouestions.pdf
8 »nyh mçÁæ‹ éiy R160 våš, R18 »nyh mçÁæ‹ éiy ______. (A) R 480 ... AITP - tet-paper-ii-maths-ouestions.pdf. AITP - tet-paper-ii-maths-ouestions.pdf. Open.

ICT Worksheet Std X _ Unit 8_ 1_Spandanam.pdf
Page 1 of 1. Name of Chapter Unit 8: Database - An introduction. Name of Activity * Creating a database. * Familiarising Table, Form, Report, Query etc. Software used Libre office Base. Time 40 Minutes. Opening Software,. Creating and saving a. new d

AITP - Maths slow learner material -6th to 8th std - Thirupur dist.pdf ...
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. AITP - Maths ...

x-maths (1).pdf
ÂU¡Fknur¡fÃ¥ M.A., M.Sc.,B.Ed.,g£ljhçMÁça®(fâj«). muR kfë® ca® ãiyÂ¥ gŸë , bfh§fzhòu«. Cell No. 9003450850. Email : [email protected] ...

AITP - viii-std-102-q.pdf
The additive identity of rational numbers is. 9. The additive inverse of −3. 5. is. 10. The reciprocal of −5. 13 is. 11. The multiplicative inverse of −7 is. 12. has no ...

AITP - maths-qp2-em.pdf
Using Venn diagrams to verify De Morgan's law for set difference. A\ (B∩ C) = (A \ B) ∪ (A \ C). 32.Let A = {6,9,15,18,21}; B = {1,2,4,5,6} and f : A→ B be defined ...

AITP - maths-qp1-em.pdf
31)A radio station surveyed 190 students to determine the types of music they liked. The survey revealed that 114 liked rock music, 50 liked folk music, and 41 ...

STD VI - Maths Worksheet.pdf
From the adjoining figure,write the pairs of the following: a.Parallel lines. b.Intersecting lines. c.Perpendicular lines. Q30.Find the magnitude of the following ...

STD IV - Maths Worksheet.pdf
Write the roman numeral of 19.______. 10. 7000 x ... Ram has 520 currency notes of 20 –rupee each.How much ... Page 3 of 5. STD IV - Maths Worksheet.pdf.

12 STD ENGLISH PAPER I & II - SURESH 7373448484 (1).pdf ...
12 STD ENGLISH PAPER I & II - SURESH 7373448484 (1).pdf. 12 STD ENGLISH PAPER I & II - SURESH 7373448484 (1).pdf. Open. Extract. Open with. Sign In.

Social Science Std X answerkey.pdf
Page 3 of 6. Social Science Std X answerkey.pdf. Social Science Std X answerkey.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying Social Science ...

Std X _2014.pdf
{]Xn-k-'n-I-sf t\cn ́v Hcp bYm¿∞. t{]jn-X-\m-Im≥ sNtø- Imcy-߃ Fs¥∂v hni-Z-am-°p-I. Page 1 of 1. Std X _2014.pdf. Std X _2014.pdf. Open. Extract. Open with.

1 Introduction - open-std
the marked code may benefit from parallel execution (i.e. the computation is ... define a custom executor which specifies the accelerator where the .... can run on the accelerator, due to either hardware or software limitations. A good .... example,

3-12th-std-business-maths-10-mark-q.pdf
Find the technology matrix and test whether the system is viable as per Hawkins – Simon. conditions.(O'08). Producer User Final. demand. Total. P Q output. P.

SLAS - V STD - MATHS - 2014-15.pdf
Page 1 of 5. www.asiriyar.com. www.asiriyar.com. Page 1 of 5. Page 2 of 5. www.asiriyar.com. www.asiriyar.com. Page 2 of 5. Page 3 of 5. www.asiriyar.com.

STD 4 MATHS UNIT TEST-MENTORS.pdf
Page 1. Whoops! There was a problem loading more pages. Retrying... STD 4 MATHS UNIT TEST-MENTORS.pdf. STD 4 MATHS UNIT TEST-MENTORS.pdf.